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Time-dependent rates of Time-dependent rates of

Time-dependent rates of - PowerPoint Presentation

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Time-dependent rates of - PPT Presentation

molecular evolution Evidence and causes Simon Ho School of Biological Sciences Acknowledgements Rob Lanfear Lindell Bromham Matt Phillips Australian National University Julien ID: 552483

ancient evidence rates dna evidence ancient dna rates implications calibration 2009 introduction selection model biological rate myr error 2008

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Slide1

Time-dependent rates of molecular evolution Evidence and causes

Simon HoSchool of Biological SciencesSlide2

AcknowledgementsRob Lanfear, Lindell

Bromham, Matt PhillipsAustralian National UniversityJulien

Soubrier

, Alan CooperUniversity of AdelaideAllen RodrigoDuke University & University of AucklandJeremy and Barbara

2

AcknowledgementsSlide3

Morphological ratesMeasured in darwins or haldanesNeontological studiesPalaeontological studies

Differ by several orders of magnitude3

Introduction

Gingerich (2001)Slide4

Molecular rates: Pedigrees

4

Introduction

Howell

et al

. (2003)Slide5

Molecular rates: Phylogenies5

Introduction

0.06

difference

Rate

=

/ 6

Myr

=

0.01

/

Myr

6 MyrSlide6

Estimating rates6

Introduction

Fossil record

Biogeography

Sampling times

Pedigrees

A

B

A

B

Recent split

Fast rate

Ancient split

Slow rate

A

BSlide7

Calibration

7

IntroductionSlide8

Evidence8

Evidence

Birds (mtDNA)

Primates (mtDNA)

Primates (D-loop)

Ho

et al

. (2005)Slide9

Evidence9

Evidence

Genner

et al

. (2007)

Burridge

et al

. (2008)Slide10

Evidence10

Evidence

Henn

et al

. (2009)

Papadopoulou

et al

. (2009)Slide11

Evidence from ancient DNA11

EvidenceSlide12

Evidence from ancient DNA

Evidence

12

Hay

et al

. (2008)Slide13

Implications: Human migration13

Implications

Endicott

et al

. (2009)Slide14

Implications: Human migration14

Implications

Ho & Endicott (2008)Slide15

Implications: LPO hypothesis15

ImplicationsSlide16

16

LPO hypothesis

Ho et al. (2008)Slide17

CausesThe basic biological frameworkThe effects of natural selectionThe effects of calibration errorsThe effect of model misspecification

Artefacts causing time-dependent molecular rates17

CausesSlide18

Evidence18

Biological frameworkSlide19

Evidence

19

Biological frameworkSlide20

Negative selection Most mutations are deleteriousTime-dependent decline in ratio of nonsynonymous to synonymous mutationsStronger time-dependence of rates in coding DNA

20

Natural selection

Subramanian (2009)Slide21

Positive selectionSelection favouring advantageous mutationsEvidenceAdaptive mitochondrial variation in response to climatic factors

21

Natural selectionSlide22

Coalescent calibration errorGenetic divergence precedes reproductive isolation

22

Calibration errors

Reproductive

isolation

Genetic

divergenceSlide23

Fossil calibration errorFossil appearance is later than genetic divergence

23

Calibration errors

6 MyrSlide24

Phylogenetic assumptionsMitochondrial DNANo recombinationMaternally inheritedHomoplasmy

24

Model misspecificationSlide25

SaturationMutational hotspotsUnder-correction for saturation over longer time periods

25

Model misspecificationSlide26

Demographic factorsPopulation structureMisspecified demographic model

26

Model misspecification

Navascues & Emerson (2009)Slide27

Sequence errorSequencing errorPost-mortem damage(ancient DNA)Artificial mutations

Inflate rate estimatesCorrected usingphylogenetic modelsof sequence error

27

ArtefactsSlide28

Ancient DNAEvidence from ancient DNA is pivotal

28

Ancient DNASlide29

Ancient DNA

Heterochronous tipsAges up to 500,000 years

29

Ancient DNASlide30

ChallengesAncient DNA data from populationsLow variationSmall range of sampling times

Lack of control over sampling designCost of radiocarbon datingPost-mortem damage

30

Ancient DNASlide31

Concluding remarksDifficulties in estimating rates empiricallyPaucity of reliable age calibrationsRange of potential biological and methodological causes

We need to disentangle these factors so that we can estimate timescales accurately

31

Concluding remarks